Text mining & text analysis

Information retrieval (e.g., search engines)
Supervised classification (e.g., guessing genres)
Unsupervised clustering (e.g., alternative “genres”)

e.g., political speeches

e.g., to identify interactions between proteins and drugs or genes and diseases.

Lists of words and their frequencies. See also: Word counts are amazing.

Words commonly appearing near each other

Common two-, three-, etc.- word phrases

The instances and contexts of a given word or set of words.

e.g. of document features (i.e., topic modeling)